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Texture-based measurement of spatial frequency response using the dead leaves target: extensions, and application to real camera systems

机译:使用枯叶目标的基于纹理的空间频率响应测量:扩展及其在真实相机系统中的应用

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The dead leaves model was recently introduced as a method for measuring the spatial frequency response (SFR) of camera systems. The target consists of a series of overlapping opaque circles with a uniform gray level distribution and radii distributed as r"3. Unlike the traditional knife-edge target, the SFR derived from the dead leaves target will be penalized for systems that employ aggressive noise reduction. Initial studies have shown that the dead leaves SFR correlates well with sharpness/texture blur preference, and thus the target can potentially be used as a surrogate for more expensive subjective image quality evaluations. In this paper, the dead leaves target is analyzed for measurement of camera system spatial frequency response. It was determined that the power spectral density (PSD) of the ideal dead leaves target does not exhibit simple power law dependence, and scale invariance is only loosely obeyed. An extension to the ideal dead leaves PSD model is proposed, including a correction term to account for system noise. With this extended model, the SFR of several camera systems with a variety of formats was measured, ranging from 3 to 10 megapixels; the effects of handshake motion blur are also analyzed via the dead leaves target.
机译:最近引入了枯叶模型,作为测量相机系统的空间频率响应(SFR)的方法。该目标由一系列重叠的不透明圆组成,它们具有均匀的灰度分布和半径分布,为r“ 3。与传统的刀口目标不同,源自死叶目标的SFR对于采用主动降噪的系统将受到惩罚初步研究表明,死叶SFR与清晰度/纹理模糊偏好之间的相关性很好,因此该目标有可能被用作更昂贵的主观图像质量评估的替代品。相机系统空间频率响应的确定,确定理想的枯叶目标的功率谱密度(PSD)并不表现出简单的幂律依赖性,并且尺度不变性只能得到严格遵守,对理想死叶PSD模型的扩展是提出了一个包括校正术语以解决系统噪声的方法。测量的垫子范围为3至10兆像素;还可以通过死叶目标来分析握手运动模糊的影响。

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